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Hall, M.

Publications and source records attributed to Hall, M..

At least 37 records · Page 2Linked to original sources

Wetland tree barks are dynamic hotspots for microbial trace gas cycling

Wetland tree stems have recently been shown to be a major source of methane emissions. However, the microbial communities associated within these stems (the caulosphere) and their contribution to biogeochemical cycling of methane and other compounds remain poorly understood. Here, we reveal that specialised microbial communities inhabit the bark of multiple Australian tree species and actively mediate the cycling of methane, hydrogen, and other climate-active trace gases. Based on genome-resolved metagenomics, most bark-associated bacteria are hydrogen metabolisers and facultative fermenters, adapted to dynamic redox and substrate conditions. Over three quarters of assembled genomes encoded genes for hydrogen metabolism, including novel lineages of Acidobacteriota, Verrucomicrobiota, and the candidate phylum JAJYCY01. Methanotrophs such as Methylomonas were abundant in certain trees and coexisted with hydrogenotrophic methanogenic Methanobacterium. Bark-associated microorganisms mediated aerobic oxidation of hydrogen, carbon monoxide, and methane at concentrations seen in planta, but under anoxic conditions barks could become a significant source of these gases. Field-based experiments and upscaling analysis suggested that bark communities are quantitatively significant mediators of global biogeochemical cycling, mitigating climatically-active gas emissions from stems and contributing to the net terrestrial sink of atmospheric hydrogen. These findings highlight the caulosphere as an important new research frontier for understanding microbial gas cycling and biogeochemistry.

microbiology↗

Cryo-EM insight into hydrogen positions and water networks in photosystem II

Photosystem II starts the photosynthetic electron transport chain that converts solar energy into chemical energy and thereby sustains life on Earth. It catalyzes two chemical reactions, plastoquinone reduction and water oxidation to molecular oxygen, which both are performed at sequestered sites. While it is known that proton-coupled electron transfer is crucial for these processes, the molecular details have remained speculative due to incomplete structural data. Thus, we collected high-resolution cryo-EM data of photosystem II from Thermosynechococcus vestitus. The advanced structure (1.71 [A]) reveals several previously unditected occupied water binding sites and more than half of the hydrogen and proton positions of the protein. This unprecedented insight into the structure of photosystem II significantly enhances our understanding of its intricate protein-water-cofactor interactions enabling solar-driven catalysis. One sentence summaryCryo-EM structure of PSII at 1.71 [A] resolution reveals over 50% of hydrogen and proton sites and additional water binding sites, aiding catalytic insight.

biochemistry↗

Branched-chain keto acids promote an immune-suppressive and neurodegenerative microenvironment in leptomeningeal disease

Leptomeningeal disease (LMD) occurs when tumors seed into the leptomeningeal space and cerebrospinal fluid (CSF), leading to severe neurological deterioration and poor survival outcomes. We utilized comprehensive multi-omics analyses of CSF from patients with lymphoma LMD to demonstrate an immunosuppressive cellular microenvironment and identified dysregulations in proteins and lipids indicating neurodegenerative processes. Strikingly, we found a significant accumulation of toxic branched-chain keto acids (BCKA) in the CSF of patients with LMD. The BCKA accumulation was found to be a pan-cancer occurrence, evident in lymphoma, breast cancer, and melanoma LMD patients. Functionally, BCKA disrupted the viability and function of endogenous T lymphocytes, chimeric antigen receptor (CAR) T cells, neurons, and meningeal cells. Treatment of LMD mice with BCKA-reducing sodium phenylbutyrate significantly improved neurological function, survival outcomes, and efficacy of anti-CD19 CAR T cell therapy. This is the first report of BCKA accumulation in LMD and provides preclinical evidence that targeting these toxic metabolites improves outcomes.

cancer biology↗

A translation-independent directed evolution strategy to engineer aminoacyl-tRNA synthetases

Using directed evolution, engineered aminoacyl-tRNA synthetases (aaRS) have been developed that enable co-translational incorporation of numerous noncanonical amino acids (ncAAs) into proteins in living cells. Until now, the selection of such novel aaRS mutants has relied on coupling their activity to the expression of a reporter protein with a selectable phenotype. However, such translation-dependent selection schemes are incompatible with exotic monomers that diverge structurally from canonical -amino acids and are suboptimal substrates for the ribosome. To enable the ribosomal incorporation of such exotic monomers, a two-step solution is needed: A) Engineering an aaRS to acylate its cognate tRNA with the exotic monomer, without relying on ribosomal translation as a readout, and B) Subsequent engineering of the ribosome to accept the resulting acylated tRNA for translation. Here, we report a platform for aaRS engineering that directly selects for tRNA-acylation without ribosomal translation (START). In START, each distinct aaRS mutant is correlated to a cognate tRNA containing a unique sequence barcode. Acylation by an active aaRS mutant protects the associated barcode-containing tRNAs from an oxidative treatment designed to damage the 3'-terminus of the uncharged tRNAs. Sequencing of these surviving barcode-containing tRNAs is then used to reveal the identity of aaRS mutants that acylated the correlated tRNA sequences. The efficacy of START was demonstrated by identifying novel mutants of the M. alvus pyrrolysyl-tRNA synthetase from a naive library that charge noncanonical amino acids.

synthetic biology↗

Diet-induced changes in metabolism influence immune response and viral shedding dynamics in Jamaican fruit bats

Land-use change may drive viral spillover from bats into humans, partly through dietary shifts caused by decreased availability of native foods and increased availability of cultivated foods. We manipulated diets of Jamaican fruit bats to investigate whether diet influences shedding of a virus they naturally host. To reflect dietary changes experienced by wild bats during periods of nutritional stress, bats were fed either standard or putative suboptimal diets which were deprived of protein (suboptimal-sugar) and/or supplemented with fat (suboptimal-fat). Upon H18N11 influenza A-virus infection, bats fed the suboptimal-sugar diet shed the most viral RNA for the longest period, but bats fed the suboptimal-fat diet shed the least viral RNA for the shortest period. Unlike mice and humans, bats fed the suboptimal-fat diet displayed higher pre-infection levels of metabolic markers associated with gut health. Diet-driven heterogeneity in viral shedding may influence population-level viral dynamics in wild bats and alter risk of shedding and spillover to humans.

ecology↗

Directional predictions of HIV transmission with optimised genomics in cohorts of serodiscordant couples

Viral genetic information from people living with HIV can deepen our understanding of the infections epidemiology at many scales. To better understand the potentials and limits of tools that utilise such information, we show the performance of two representative tools (HIV-TRACE and phyloscanner) in describing HIV transmission dynamics, with different types of genetic data, and compare with previous findings. The samples were collected from three cohort studies in Sub-Saharan Africa and were deep sequenced to produce both short Illumina reads and long PacBio reads. By comparing phyloscanners performance with short and long reads, we show that long reads provide improved phylogenetic resolution for the classic transmission topology in joint within-host trees. Our pipeline accurately predicted the direction of transmission 88%-92% of the time. We also show that the timing of sample collection plays an important role in the reconstruction of directionality using deep sequencing data. Consensus sequences were also generated and used as HIV-TRACE input to show different patterns of clustering sensitivity and specificity for data from different genomic regions or the entire genome. Finally, we discuss adjusting expectations about sensitivity and specificity of different types of sequence data, considering rapid pathogen evolution, and highlight the potentials of high within-host phylogenetic resolution in HIV. In conclusion, viral genetic data collected and presented differently could greatly influence our ability to describe the underlying dynamics. Methods for source attribution analysis have reached levels of superior accuracy. However, residual uncertainty emphasizes sequence analysis alone cannot conclusively prove linkage at the individual level. ImportanceUnderstanding HIV transmission dynamics is key to designing effective HIV testing and prevention strategies. By using different sequencing techniques on well-characterised cohorts, we were able to evaluate the effect of genetic data resolution on the accuracy of identifying likely transmission pairs and the direction of transmission within pairs. We find that the longer reads generated by PacBio sequencing are more suitable for transmission analyses.

genomics↗

Itaconate promotes the differentiation of murine stress erythroid progenitors by increasing Nrf2 activity.

Steady state erythropoiesis produces new erythrocytes at a constant rate to replace senescent erythrocytes removed in the spleen and liver. Inflammation caused by infection or tissue damage skews bone marrow hematopoiesis, increasing myelopoiesis at the expense of steady state erythropoiesis. To compensate for the loss of production, stress erythropoiesis is induced. Stress erythropoiesis is highly conserved between mouse and human but utilizes a different strategy than steady state erythropoiesis. Inflammatory signals promote the proliferation of immature stress erythroid progenitors (SEPS), which in response to erythropoietin and other signals transition to stress erythroid progenitors committed to differentiation. Here we show that TNF dependent signaling increases ROS in SEPs during the proliferation stage, however, blocking ROS production impairs their later differentiation. In addition to TNF, nitric oxide dependent signaling drives the proliferation of stress erythroid progenitors and production of nitric oxide must be decreased so that the progenitor cells can differentiate. As progenitor cells transition to differentiation, increased production of the anti-inflammatory metabolite itaconate activates Nfe2l2 or Nrf2, which inhibits Nos2 expression, leading to decreased nitric oxide production. Mutation of Irg1, the enzyme that catalyzes the production of itaconate, causes a delayed recovery from inflammatory anemia induced by heat killed Brucella abortus. Loss of itaconate-dependent activation of Nrf2 is rescued in vivo by IL-10, which leads to activation of Nrf2 and differentiation. These data show that the differentiation of stress erythroid progenitors relies on a switch to an anti-inflammatory metabolism and increased expression of pro-resolving cytokines. Key points1. The transition to differentiation of stress erythroid progenitors requires anti-inflammatory signals. 2. The anti-inflammatory metabolite itaconate and IL-10 increase Nrf2 activity to promote the differentiation of stress erythroid progenitors.

developmental biology↗

Nitric oxide regulates metabolism in murine stress erythroid progenitors to promote recovery during inflammatory anemia.

Inflammation skews bone marrow hematopoiesis increasing the production of myeloid effector cells at the expense of steady-state erythropoiesis. A compensatory stress erythropoiesis response is induced to maintain homeostasis until inflammation is resolved. In contrast to steady-state erythroid progenitors, stress erythroid progenitors (SEPs) utilize signals induced by inflammatory stimuli. However, the mechanistic basis for this is not clear. Here we reveal a nitric oxide (NO)-dependent regulatory network underlying two stages of stress erythropoiesis, namely proliferation, and the transition to differentiation. In the proliferative stage, immature SEPs and cells in the niche increased expression of inducible nitric oxide synthase (Nos2 or iNOS) to generate NO. Increased NO rewires SEP metabolism to increase anabolic pathways, which drive the biosynthesis of nucleotides, amino acids and other intermediates needed for cell division. This NO-dependent metabolism promotes cell proliferation while also inhibiting erythroid differentiation leading to the amplification of a large population of non-committed progenitors. The transition of these progenitors to differentiation is mediated by the activation of nuclear factor erythroid 2-related factor 2 (Nfe2l2 or Nrf2). Nrf2 acts as an anti-inflammatory regulator that decreases NO production, which removes the NO-dependent erythroid inhibition and allows for differentiation. These data provide a paradigm for how alterations in metabolism allow inflammatory signals to amplify immature progenitors prior to differentiation. Key pointsO_LINitric-oxide (NO) dependent signaling favors an anabolic metabolism that promotes proliferation and inhibits differentiation. C_LIO_LIActivation of Nfe2l2 (Nrf2) decreases NO production allowing erythroid differentiation. C_LI

developmental biology↗

A Meta-analysis of 2D vs. 3D Ovarian Cancer Cellular Models

Three-dimensional (3D) cancer models are revolutionizing research, allowing for the recapitulation of in vivo like response through the use of an in vitro system, more complex and physiologically relevant than traditional mono-layer culture. Cancers such as ovarian (OvCa), are prone to developing resistance and are often lethal, and stand to benefit greatly from the enhanced modelling emulated by 3D culture. However current models often fall short of predicted response where reproducibility is limited owing to the lack of standardized methodology and established protocols. This meta-analysis aims to assess the current scope of 3D OvCa models and the differences in genetic profile presented by a vast array of 3D cultures. A meta-analysis of the literature (Pubmed.gov) spanning 2012 - 2022, was used to identify studies with comparable monolayer (2D) counterparts in addition to RNA sequencing and microarray data. From the data 19 cell lines were found to show differential regulation in their gene expression profiles depending on the bio-scaffold (i.e. agarose, collagen or Matrigel) compared to 2D cell cultures. Top genes differentially expressed 2D vs. 3D include C3, CXCL1, 2 and 8, IL1B, SLP1, FN1, IL6, DDIT4, PI3, LAMC2, CCL20, MMP1, IFI27, CFB, and ANGPTL4. Top Enriched Gene sets for 2D vs. 3D include IFN- and IFN-{gamma} Response, TNF- signalling, IL-6-JAK-STAT3 signalling, angiogenesis, hedgehog signalling, apoptosis, epithelial mesenchymal transition, hypoxia, and inflammatory response. Our transversal comparison of numerous scaffolds allowed us to highlight the variability that can be induced by these scaffolds in the transcriptional landscape as well as identifying key genes and biological processes that are hallmarks of cancer cells grown in 3D cultures. Future studies are needed to identify which is the most appropriate in vitro/preclinical model to study tumour microenvironment. SummaryOvarian cancer is one of the most lethal forms of female cancers. Cell culture is often the go to model to study the molecular processes of cancer. However, this is an oversimplification of the reality. 3D tissue culture has been developed to address the cell culture limitations and to provide a more realistic model of the system studied. Cells grown in 3D represent better the human tumour microenvironment. This meta-analysis is exploring the use of 3D tissue culture as a model of ovarian cancer. Our analysis shows that ovarian cancer cells grown in 3D exhibit enhanced regulation in processes pertinent to tumour development and progression. We identify a panel of genes associated with specific 3D growth conditions that could be used as conditional markers. Finally, we present an overview of the state-of-art of 3D culture with an extensive profile of the genes and pathways enhanced in ovarian cancer models.

bioinformatics↗

Modelling dementia in Drosophila uncovers shared and specific targets of TDP-43 proteinopathy across ALS and FTD relevant circuits

Amyotrophic lateral sclerosis (ALS) and fronto-temporal dementia (FTD) comprise a spectrum of neurodegenerative diseases linked to TDP-43 proteinopathy, which at the cellular level, is characterized by loss of nuclear TDP-43 and accumulation of cytoplasmic TDP-43 puncta that ultimately cause RNA processing defects including dysregulation of splicing, mRNA transport and translation. Complementing our previous models of ALS, here we report a novel model of FTD based on overexpression of TDP-43 in the Drosophila mushroom body (MB) circuit. This model recapitulates several aspects of FTD pathology including age-dependent neuronal loss, and nuclear depletion and cytoplasmic accumulation of TDP-43, accompanied by behavioral deficits in working memory and sleep that occur before axonal degeneration ensues. RNA immunoprecipitations identify several candidate mRNA targets of TDP-43 in MBs, some of which are unique to the MB circuit while others are shared with motor neurons. Among the latter is the glypican Dally-like-protein (Dlp), a modulator of Wg/Wnt signaling. Using genetic interactions we show that overexpression of Dlp in MBs mitigates TDP-43 dependent working memory deficits. These results highlight the utility of modelling TDP-43 proteinopathy in Drosophila and provide a novel platform for studying the molecular mechanisms underlying FTD, and potentially uncovering shared and circuit specific vulnerabilities in ALS/FTD.

neuroscience↗

A scenario-guided strategy for the future management of biological invasions

Future dynamics of biological invasions are highly uncertain because they depend on multiple environmental, societal and socio-economic drivers. We adopted a qualitative scenario approach to explore the future of invasive alien species (IAS) in Europe and created an overall strategy for their management that considers different plausible future developments. The scenarios and strategy were developed during two online workshops with a multidisciplinary team of experts. First, we downscaled four global scenarios of biological invasions to the European level. Second, we developed a management strategy structured into 19 goals that cover a broad array of IAS-related topics (i.e. policy, research, public awareness and biosecurity), and provided solutions for achieving these goals considering the European scenarios. Third, we identified four interrelated recommendations around which any long-term strategy for managing IAS in Europe can be structured: (i) a European biosecurity regime, (ii) a dedicated communication strategy, (iii) data standardization and management tools, and (iv) a monitoring and assessment system. Finally, we identified the feasibility of the IAS management strategy, finding strong differences among the four scenarios. High levels of technological development, public environmental awareness, and effectiveness of IAS policies facilitated the implementation of the overall management strategy. Together, our results indicate that it is time for a new management of biological invasions in Europe based on a more integrative perspective across sectors and countries to be better prepared for future challenges.

ecology↗

A search for "perio-probiotics" by longitudinal dissection of oral bacterial community shifts during the onset and resolution of gingivitis

AimTo understand the spatiotemporal dynamics of bacterial succession during gingivitis, and to identify taxa with a critical role in gum health with prognostic value. Materials and methodsLongitudinal microbiome data were collected from 15 individuals after completely discontinuing all forms of oral hygiene, and subsequently reintroducing it for three and two weeks, respectively. Sequences from the 16S rRNA V4-V5 gene region from sub- and supra-gingival plaque, saliva, and tongue sites were annotated and mapped to a reference tree of Human Oral Microbiome Database sequences. ResultsSuspending oral hygiene induced gingivitis, which was resolved after its resumption to baseline. Most significant shifts in bacterial abundance were observed in dental plaque, but not in saliva and tongue sites. During gingivitis-induction, baseline microbiota dominated by Streptococcus, was superseded by increased Prevotella, Fusobacterium, Leptotrichia, and Porphyromonas genera. Converse to its decline during disease-induction, gum health restoration was accompanied by a significant increase in streptococci. ConclusionWe present the most comprehensive, spatiotemporal map of bacterial succession during gingivitis onset and resolution. We have identified taxa with potential as probiotic candidates for gum disease (i.e., perio-probiotics), and suggest tooth-associated plaque and not saliva or tongue plaque should be used in future prognostic tests.

microbiology↗

Tumor-educated monocytes suppress T cells via adenosine and depletion of adenosine in the tumor microenvironment with adenosine deaminase enzyme promotes response to immunotherapy

Although immune checkpoint inhibitor (ICI) therapy has provided robust results in many cancer types such as melanoma and lung cancer, a large percentage of patients remain unresponsive to this therapy. Emerging evidence strongly suggests that one of the contributing factors in ICI resistance is monocytic myeloid derived suppressor cells (M-MDSCs) that accumulate in late-stage cancer patients. These M-MDSCs are a subset of innate immune cells and possess potent immunosuppressive activity against T lymphocytes. Here we provide evidence of a mechanism by which CD73-expressing M-MDSCs in the tumor microenvironment (TME) exhibit superior T cell suppressor function via adenosine. We show that tumor-derived PGE2, a prostaglandin frequently found at high levels in the TME, directly induces CD73 expression in M-MDSCs by initiating a signaling pathway that is mediated by both Stat3 and CREB. The resulting CD73 overexpression induces elevated levels of adenosine, a nucleoside with strong T cell suppressive activity, culminating in the suppression of CD8+ T cell-mediated anti-tumor responses. We also show that depletion of adenosine in the TME by the repurposed drug PEGylated Adenosine Deaminase (PEG-ADA) increases CD8+ T cell anti-tumor activity and enhances response to ICI therapy in preclinical models of cancer. Our results suggest that use of PEG-ADA is a viable therapeutic option to overcome ICI therapeutic resistance in advanced cancer patients.

cell biology↗

GRINtrode: A neural implant for simultaneous two-photon imaging and extracellular electrophysiology in freely moving animals

SignificanceIn vivo imaging and electrophysiology are powerful tools to explore neuronal function that each offer unique complementary information with advantages and limitations. Capturing both data types from the same neural population in the freely moving animal would allow researchers to take advantage of the capabilities of both modalities and further understand how they relate to each other. AimHere we present a head-mounted neural implant suitable for in vivo two-photon imaging of neuronal activity with simultaneous extracellular electrical recording in head-fixed or freely moving animals. ApproachA GRIN lens-based head-mounted neural implant with extracellular electrical recording provided by tetrodes on the periphery of the GRIN lens was chronically implanted. The design of the neural implant allows for recording from head-fixed animals, as well as freely moving animals by coupling the imaging system to a coherent imaging fiber bundle. ResultsWe demonstrate simultaneous two-photon imaging of GCaMP and extracellular electrophysiology of neural activity in awake head-fixed, and freely moving mice. Using the collected information, we perform correlation analysis to reveal positive correlation between optical and local field potential recordings. ConclusionSimultaneously recording neural activity using both optical and electrical methods provides complementary information from each modality. Designs that can provide such bimodal recording in freely moving animals allow for the investigation of neural activity underlying a broader range of behavioral paradigms.

neuroscience↗

Target Class Profiling of Small Molecule Methyltransferases

Target class profiling (TCP) is a chemical biology approach to investigating understudied biological target classes. TCP is achieved by developing a generalizable assay platform and screening curated compound libraries to interrogate the chemical biological space of members of an enzyme family with clinical and biological importance. In this work we took a TCP approach to investigate inhibitory activity across a set of small molecule methyltransferases, a subclass of methyltransferase enzymes, with the goal of creating a launchpad to explore this largely understudied target class. Using the representative enzymes nicotinamide N-methyltransferase (NNMT), phenylethanolamine N-methyltransferase (PNMT), histamine N-methyltransferase (HNMT), glycine N-methyltransferase (GNMT), catechol O-methyltransferase (COMT), and guanidinoacetate N-methyltransferase (GAMT), we optimized high-throughput screening (HTS)-amenable assays to screen 27,574 unique small molecules against all targets. From this dataset we identified a novel inhibitor which selectively inhibits the small molecule methyltransferase HNMT, and demonstrated how this platform approach can be leveraged for a targeted drug discovery campaign using the example of HNMT.

biochemistry↗

Asymmetric Structure of the Native Rhodobacter sphaeroides Dimeric LH1-RC Complex

The light-harvesting-reaction center (LH1-RC) core complex of purple photosynthetic bacterium Rhodobacter (Rba.) sphaeroides is characterized by the presence of both a dimeric form and a monomeric form. Following structure determination of the monomeric LH1-RC including its previously unrecognized component designated protein-U (Nat. Commun. 12, 6300, 2021), here we present cryo-EM structures of the dimeric LH1-RC from native Rba. sphaeroides IL106 at 2.75 [A] resolution and from an LH1-RC monomer lacking protein-U ({Delta}U) at 2.64 [A] resolution. The native dimeric core complex reveals many asymmetric features in the arrangement of its two monomeric components including the structural integrity of protein-U, the overall LH1 organization, and the rigidities of the proteins and pigments that form the complex. PufX polypeptides play a critical role in connecting two monomers, with one PufX interacting at its N-terminus with another PufX and an LH1 {beta}-polypeptide in another monomer, in good agreement with biochemical analyses. One of the proteins-U was only partially identified in the dimeric structure, signaling significantly different degrees of disorder in the two monomers. The {Delta}U LH1-RC monomer revealed a half-moon-shaped structure containing 11 - and 10 {beta}-polypeptides (compared with 14 of each in the wild type), indicating a critical role for protein-U in controlling the number of {beta}-subunits required for correct assembly and stabilization of the LH1-RC dimer. The structural features are discussed in relation to the unusual topology of intracytoplasmic photosynthetic membranes and an assembly model proposed for the native Rba. sphaeroides dimeric LH1-RC complex in membranes of wild-type cells.

biochemistry↗

The genes controlling normal function of citrate and spermine secretion is lost in aggressive prostate cancer and prostate model systems

BackgroundSecretion of the metabolites citrate and spermine into prostate lumen is a unique hallmark for normal prostate epithelial cells. However, the identity of the genes controlling citrate and spermine secretion remains mostly unknown despite their obvious relevance for progression to aggressive prostate cancer. Materials & MethodsIn this study, we have correlated simultaneous measurement of citrate/spermine and transcriptomics data. We have refined these gene correlations in 12 prostate cancer cohorts containing 2915 tissue samples to create a novel gene signature of 150 genes connected with citrate and spermine secretion. We further explored the signature in public data, interrogating over 18 000 samples from various tissues and model systems, including 3826 samples from prostate and prostate cancer. ResultsIn prostate cancer, the expression of this gene signature is gradually lost in tissue from normal epithelial cells through PIN, low grade (Gleason <= 7), high grade cancer (Gleason >= 8) and metastatic lesions. The accuracy of the signature is validated by its unique enrichment in prostate compared to other tissues, and its strong enrichment in epithelial tissue compartments compared to stroma. Several zinc-binding proteins that are not previously investigated in the prostate are present in the gene signature, suggesting new mechanisms for controlling zinc homeostasis in citrate/spermine secretion. However, the absence of the gene signature in all common prostate normal and cancer cell-lines, as well as prostate organoids, underlines the challenge to study the role of these genes during prostate cancer progression in model systems. ConclusionsA large collection of transcriptomics data integrated with metabolomics identifies the genes related to citrate and spermine secretion in the prostate, and show that the expression of these genes gradually decreases on the path towards aggressive prostate cancer. In addition, the study questions the relevance of currently available model systems to study metabolism in prostate cancer development.

bioinformatics↗

Myonuclear maturation dynamics in aged and adult regenerating mouse skeletal muscle

Skeletal muscle cells are multinucleated syncytial cells arising from cell fusion, yet despite sharing a common cytoplasm individual myonuclei express distinct transcriptional programs. Whether individual myonuclei acquire heterogenous transcriptional states via differences in their progenitors, during differentiation, or once their anatomical position is acquired, is not known. We performed transcriptome and pseudotime analysis of single myogenic nuclei from uninjured and post-injury murine skeletal muscle to assess when myonuclear heterogeneity is acquired. Two distinct progenitors contribute to myonuclei, one a non-myogenic fibroblast subtype, and skeletal muscle stem cells the other. Both progenitors enter a single pseudotime trajectory that bifurcates as myonuclei mature into two branches segregated by myosin isoform expression and metabolic profiles, suggesting transcriptional heterogeneity is acquired as myonuclei mature. In aged skeletal muscle myogenic progenitor expansion is perturbed and nuclei from aged muscle display distinct pseudotemporal kinetics compared to nuclei from young mice. In aged mice, the inferred myogenic differentiation trajectory is delayed, altering the distribution of myogenic nuclei in pseudotime, suggesting that altered transcriptional dynamics in nuclei in aged mice may drive age-associated muscle deficits and bias myonuclei towards acquiring oxidative metabolic profiles.

molecular biology↗